|
Analysis of genetic code properties by mathematical simulation
N. N. Kozlova, E. I. Kugushevb, T. M. Eneeva a Keldysh Institute of Applied Mathematics Russian Academy of Sciences
b Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Abstract:
We consider random changes in the standard genetic code, under which its structure is preserved, as well as small variations of the genetic code in which the structure is preserved or changed. It justifies the assumption that the standard genetic code in the best way provides the possibility of gene overlap. The structure and content of the standard genetic code is determined by the condition of the maximum total number of allowable substitutions that open the closed reading frames and the minimal closed reading frames for which there is no such replacement. The estimated probability of a random selection of a standard genetic code from the point of view of this criterion, depending on the model of a numerical experiment, is of the order of $10^{-3}$ to $10^{-6}$.
Keywords:
genetic code, overlapping genes.
Received: 30.05.2019 Revised: 30.05.2019 Accepted: 09.09.2019
Citation:
N. N. Kozlov, E. I. Kugushev, T. M. Eneev, “Analysis of genetic code properties by mathematical simulation”, Matem. Mod., 32:9 (2020), 131–144; Math. Models Comput. Simul., 13:3 (2021), 445–452
Linking options:
https://www.mathnet.ru/eng/mm4218 https://www.mathnet.ru/eng/mm/v32/i9/p131
|
Statistics & downloads: |
Abstract page: | 353 | Full-text PDF : | 170 | References: | 29 | First page: | 6 |
|